Article ; Online: Harnessing Whole Genome Polygenic Risk Scores to Stratify Individuals Based on Cardiometabolic Risk Factors and Biomarkers at Age 10 in the Lifecourse-Brief Report.
Arteriosclerosis, thrombosis, and vascular biology
2022 Volume 42, Issue 3, Page(s) 362–365
Abstract: Background: In this study, we investigated the capability of polygenic risk scores to stratify a cohort of young individuals into risk deciles based on 10 different cardiovascular traits and circulating biomarkers.: Methods: We first conducted large- ... ...
Abstract | Background: In this study, we investigated the capability of polygenic risk scores to stratify a cohort of young individuals into risk deciles based on 10 different cardiovascular traits and circulating biomarkers. Methods: We first conducted large-scale genome-wide association studies using data on adults (mean age 56.5 years) enrolled in the UK Biobank study (n=393 193 to n=461 460). Traits and biomarkers analyzed were body mass index, systolic blood pressure, diastolic blood pressure, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, apolipoprotein B, apolipoprotein A-I, C-reactive protein and vitamin D. Findings were then leveraged to build whole genome polygenic risk scores in participants from the Avon Longitudinal Study of Parents and Children (mean age, 9.9 years) which were used to stratify this cohort into deciles in turn and analyzed against their respective traits. Results: For each of the 10 different traits assessed, we found strong evidence of an incremental trend across deciles (all Conclusions: Although the use of polygenic prediction in a clinical setting may currently be premature, our findings suggest they are becoming increasingly powerful as a means of predicting complex trait variation at an early stage in the lifecourse. |
---|---|
MeSH term(s) | Biological Specimen Banks ; Biomarkers/blood ; Cardiometabolic Risk Factors ; Child ; Cohort Studies ; Female ; Genetic Variation ; Genome-Wide Association Study ; Humans ; Linear Models ; Linkage Disequilibrium ; Longitudinal Studies ; Male ; Multifactorial Inheritance ; United Kingdom |
Chemical Substances | Biomarkers |
Language | English |
Publishing date | 2022-01-20 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1221433-4 |
ISSN | 1524-4636 ; 1079-5642 |
ISSN (online) | 1524-4636 |
ISSN | 1079-5642 |
DOI | 10.1161/ATVBAHA.121.316650 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
Zs.A 1705: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.